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. Experience with basic mathematical principles and their application in modelling. Familiarity with programming languages such as Matlab or Python . Given the interdisciplinary nature of the project, a strong
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, Culture and Communication (UKK) our students mainly study programmes relating to teacher education, but we also offer programmes and courses in languages and communication, mathematics/applied mathematics
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engineering sciences, architecture, technology-related mathematical sciences, natural and nautical sciences, working in close collaboration with industry and society. The strategy for scientific excellence
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-based methods to improve cancer therapy Your profile Qualifications PhD in bioinformatics, computer science, biology, medicine, or mathematical statistics. Experience in cancer research and analyses
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Lund University was founded in 1666 and is repeatedly ranked among the world’s top universities. The University has around 47 000 students and more than 8 800 staff based in Lund, Helsingborg and Malmö. We are united in our efforts to understand, explain and improve our world and the human...
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)? The study of the potential and limits of efficient computation is about foundational, mathematical, research, but research results in computational complexity theory have had major impact in other areas
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Mälardalen University (MDU) is the youngest university in Sweden. In line with our vision, to be a progressive and collaborative University where we shape a sustainable future together, we wish to make a difference. Do you want to be involved and contribute to our development? Together, we can...
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computational photography. The specific focus is on research and development of methods and mathematical analysis relevant to perception, image formation, and computer graphics. The general focus is on research
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Engineering, Electrical Engineering, Information and Communication Technology, Engineering Physics or Engineering Mathematics. Additional requirements In order to complete the doctoral programme in question
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publications, presentations). Qualifications You need: A PhD degree in computer science, mathematics, or engineering physics, preferably with a focus on data analysis, AI trustworthiness, human robotics